Hybrid immune algorithm for structural health monitoring using acceleration data

R. Li, Akira Mita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to detect and identify damage of civil engineering structures precisely and efficiently, an approach for damage detection by employing hybrid immune algorithm combined with Negative Selection (NS) and Clonal Selection Algorithm (CSA) is proposed. NS and CSA play different roles in this process. The first step is to create a detector set by using normal acceleration data as input. The second step is to use negative selection algorithm to detect and localize the damage of the structure. At last, CSA will quantify the damage severity of the structure. The experimental results of an 8-story shear frame structure indicated that this hybrid immune algorithm can efficiently and precisely detect, localize and quantify damage of civil engineering structures with different damage location, extent and measurement noise.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
Pages1095-1102
Number of pages8
Volume1
Publication statusPublished - 2011
Event8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Stanford, CA, United States
Duration: 2011 Sep 132011 Sep 15

Other

Other8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures
CountryUnited States
CityStanford, CA
Period11/9/1311/9/15

Fingerprint

Structural health monitoring
Civil engineering
Damage detection
Detectors

ASJC Scopus subject areas

  • Civil and Structural Engineering

Cite this

Li, R., & Mita, A. (2011). Hybrid immune algorithm for structural health monitoring using acceleration data. In Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring (Vol. 1, pp. 1095-1102)

Hybrid immune algorithm for structural health monitoring using acceleration data. / Li, R.; Mita, Akira.

Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring. Vol. 1 2011. p. 1095-1102.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, R & Mita, A 2011, Hybrid immune algorithm for structural health monitoring using acceleration data. in Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring. vol. 1, pp. 1095-1102, 8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures, Stanford, CA, United States, 11/9/13.
Li R, Mita A. Hybrid immune algorithm for structural health monitoring using acceleration data. In Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring. Vol. 1. 2011. p. 1095-1102
Li, R. ; Mita, Akira. / Hybrid immune algorithm for structural health monitoring using acceleration data. Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring. Vol. 1 2011. pp. 1095-1102
@inproceedings{c0c0d079778843fc9cec3e90d72a54fe,
title = "Hybrid immune algorithm for structural health monitoring using acceleration data",
abstract = "In order to detect and identify damage of civil engineering structures precisely and efficiently, an approach for damage detection by employing hybrid immune algorithm combined with Negative Selection (NS) and Clonal Selection Algorithm (CSA) is proposed. NS and CSA play different roles in this process. The first step is to create a detector set by using normal acceleration data as input. The second step is to use negative selection algorithm to detect and localize the damage of the structure. At last, CSA will quantify the damage severity of the structure. The experimental results of an 8-story shear frame structure indicated that this hybrid immune algorithm can efficiently and precisely detect, localize and quantify damage of civil engineering structures with different damage location, extent and measurement noise.",
author = "R. Li and Akira Mita",
year = "2011",
language = "English",
isbn = "9781605950532",
volume = "1",
pages = "1095--1102",
booktitle = "Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring",

}

TY - GEN

T1 - Hybrid immune algorithm for structural health monitoring using acceleration data

AU - Li, R.

AU - Mita, Akira

PY - 2011

Y1 - 2011

N2 - In order to detect and identify damage of civil engineering structures precisely and efficiently, an approach for damage detection by employing hybrid immune algorithm combined with Negative Selection (NS) and Clonal Selection Algorithm (CSA) is proposed. NS and CSA play different roles in this process. The first step is to create a detector set by using normal acceleration data as input. The second step is to use negative selection algorithm to detect and localize the damage of the structure. At last, CSA will quantify the damage severity of the structure. The experimental results of an 8-story shear frame structure indicated that this hybrid immune algorithm can efficiently and precisely detect, localize and quantify damage of civil engineering structures with different damage location, extent and measurement noise.

AB - In order to detect and identify damage of civil engineering structures precisely and efficiently, an approach for damage detection by employing hybrid immune algorithm combined with Negative Selection (NS) and Clonal Selection Algorithm (CSA) is proposed. NS and CSA play different roles in this process. The first step is to create a detector set by using normal acceleration data as input. The second step is to use negative selection algorithm to detect and localize the damage of the structure. At last, CSA will quantify the damage severity of the structure. The experimental results of an 8-story shear frame structure indicated that this hybrid immune algorithm can efficiently and precisely detect, localize and quantify damage of civil engineering structures with different damage location, extent and measurement noise.

UR - http://www.scopus.com/inward/record.url?scp=84866689793&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866689793&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781605950532

VL - 1

SP - 1095

EP - 1102

BT - Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring

ER -